About
A Model Context Protocol server that exposes Ethereum tools—balance checks, transaction history, ERC20 transfers, contract ABIs, gas prices, and ENS resolution—through Etherscan’s API for easy integration with MCP clients.
Capabilities
Overview
The MCP Etherscan Server is a specialized Model Context Protocol service that bridges AI assistants with real‑time Ethereum blockchain data via the Etherscan API. By exposing a set of high‑level tools—balance lookup, transaction history, token transfers, contract ABI retrieval, gas price monitoring, and ENS resolution—it enables developers to query the blockchain without writing custom API wrappers or managing network nodes. This reduces friction when building AI‑powered dApp assistants, automated monitoring bots, or analytical dashboards that require up‑to‑date blockchain information.
What problem does it solve?
Traditional access to Ethereum data often demands either running a full node, subscribing to third‑party services, or handling complex JSON‑RPC calls. Developers integrating AI assistants must translate raw API responses into conversational outputs, which can be error‑prone and time‑consuming. The MCP Etherscan Server abstracts these details behind a clean, protocol‑driven interface. An AI client simply invokes a named tool with minimal input; the server handles authentication, rate‑limiting, and data formatting, returning structured results that are immediately usable in natural language responses.
Key features explained in plain language
- Balance Checking: Retrieve the exact Ether balance for any address, presented both in Wei and ETH.
- Transaction History: Pull a concise list of recent transactions, including timestamps, values, and counterparties.
- Token Transfers: Track ERC20 movements, complete with token metadata such as symbol and decimals.
- Contract ABI: Download the Application Binary Interface of any verified contract, facilitating smart‑contract interaction or code generation.
- Gas Prices: Get the current recommended gas rates (Safe Low, Standard, Fast) in Gwei, essential for transaction fee estimation.
- ENS Resolution: Convert an address into its human‑readable ENS name when available, improving readability in conversations.
Use cases and real‑world scenarios
- AI dApp Assistants: A conversational agent can answer questions like “What’s the balance of Vitalik’s wallet?” or “Show me recent transfers to 0xabc…”.
- Automated Monitoring: Bots can watch for large token transfers or gas price spikes and alert stakeholders via chat.
- Developer Tooling: Integrate the ABI fetcher into a code‑generation workflow, allowing AI to suggest function calls or contract interactions.
- Educational Platforms: Students can query live blockchain data during tutorials, seeing instant feedback without manual setup.
Integration with AI workflows
The server runs over stdio, making it natively compatible with MCP‑enabled clients such as Claude Desktop. Adding the server requires a single configuration entry; thereafter, each tool becomes a first‑class command in the assistant’s repertoire. The AI can embed calls directly into its responses, parse structured results, and even chain multiple tools to perform complex queries—all while maintaining a conversational tone.
Unique advantages
- Zero‑node requirement: No need to host or sync an Ethereum node; the server relies on Etherscan’s proven API.
- Protocol‑level consistency: All interactions follow the MCP specification, ensuring predictable request/response patterns across different clients.
- Extensibility: The server’s modular design allows rapid addition of new tools, such as NFT metadata retrieval or block information queries, without altering the client side.
- Security: The Etherscan API key is stored in an environment variable, keeping credentials out of the codebase and allowing safe deployment on shared machines.
In summary, the MCP Etherscan Server equips AI assistants with instant, reliable access to Ethereum blockchain data through a clean, protocol‑driven interface. It streamlines development, enhances conversational quality, and opens the door to a wide range of blockchain‑centric AI applications.
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